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Nonparametric pricing and hedging of exotic derivatives

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

In the spirit of Arrow-Debreu, we introduce a family of financial derivatives that act as primitive securities in that exotic derivatives can be approximated by their linear combinations. We call these financial derivatives signature payoffs. We show that signature payoffs can be used to nonparametrically price and hedge exotic derivatives in the scenario where one has access to price data for other exotic payoffs. The methodology leads to a computationally tractable and accurate algorithm for pricing and hedging using market prices of a basket of exotic derivatives that has been tested on real and simulated market prices, obtaining good results.

fields

math.FA 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

Rough kernel hedging

math.FA · 2025-01-16 · conditional · novelty 6.0

A signature-kernel and operator-valued-kernel framework for hedging is proved to have a unique global minimizer with an explicit formula, and it approximates the delta hedge on a GBM example.

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  • Rough kernel hedging math.FA · 2025-01-16 · conditional · none · ref 30 · internal anchor

    A signature-kernel and operator-valued-kernel framework for hedging is proved to have a unique global minimizer with an explicit formula, and it approximates the delta hedge on a GBM example.